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查看斯高帕斯 (Scopus) 概要
邱 維辰
教授
多媒體工程研究所
https://orcid.org/0000-0001-7715-8306
h-index
h10-index
h5-index
1819
引文
20
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
1501
引文
17
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
627
引文
12
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2007
2025
每年研究成果
概覽
指紋
網路
計畫
(10)
研究成果
(88)
類似的個人檔案
(6)
指紋
查看啟用 Wei-Chen Chiu 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Computer Science
Annotation
56%
Approximation (Algorithm)
46%
Art Performance
21%
Artificial Intelligence
19%
Class-Incremental Learning
34%
Computer Hardware
23%
Computer Vision
34%
Contrastive Learning
34%
Convolutional Neural Network
33%
Data Augmentation
23%
Data Domain
23%
Decision-Making
29%
Deep Learning Model
21%
Deep Neural Network
20%
Degradation Model
23%
Depth Estimation
100%
Diffusion Model
23%
Discretization
23%
Domain Adaptation
19%
Experimental Result
27%
Face Recognition
29%
Feature Map
17%
Few-Shot Learning
23%
Generalizability
46%
Generative Model
26%
Image Compression
48%
Image Segmentation
31%
Image Translation
45%
Implicit Representation
20%
Invariant Domain
35%
Large Data Set
23%
Learning Performance
23%
Neural Network
21%
Point Cloud
38%
Pose Estimation
34%
Representation Learning
37%
Segmentation Task
23%
Segmentation Technique
23%
Self-Supervised Learning
36%
Single-Image Super Resolution
32%
super resolution
69%
Superior Performance
61%
Supervised Learning
21%
Target Domain Data
31%
Training Data
56%
Transfer Learning
23%
Unsupervised Domain Adaptation
19%
Vector Quantization
25%
Video Compression
23%
videogame
23%
Keyphrases
Blind SR
29%
Blind Super-resolution
46%
Camera Pose
23%
Catastrophic Forgetting
29%
Class-incremental Learning
34%
Colorization
23%
Computer Vision
37%
Contrastive Learning
34%
Convolutional Neural Network
19%
Cross-modal
23%
Cycle Consistency
23%
Dataset Distillation
23%
Degradation Representation
34%
Depth Estimation
47%
Depth Map
41%
Disentanglement
51%
Distillation
22%
Domain Adaptive
23%
Domain Data
22%
Downsampling
22%
Dual Degradation
34%
Face Recognition
19%
Generative Models
27%
Image Compression
58%
Image-to-image Translation
34%
Indirect Time-of-flight (iTOF)
23%
Kinect
23%
Latent Residuals
23%
Monocular Depth Estimation
30%
Playing Style
34%
Point Cloud
23%
Policy Diversity
23%
Real Image
21%
RGB-D Camera
23%
Saliency
19%
Screen Content Image
23%
Single View
23%
Spatiotemporal
23%
Stereo
23%
Structural Information
27%
Style Transfer
26%
Superior Performance
38%
Target Domain
26%
Time-kill
23%
Training Data
37%
Transformer-based
34%
Unseen
29%
Upsampling
29%
Video Compression
23%
Video Games
23%
